International Journal of Quality, Statistics, and Reliability

Aims & Scope

Cessation.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Family of Lifetime Distributions

  Citation: 22

  Authors: Vasileios, Konstantinos, Sotirios

• Process Monitoring with Multivariate <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>p</mml:mi></mml:math>-Control Chart

  Citation: 18

  Authors: Paolo C.

• About Statistical Analysis of Qualitative Survey Data

  Citation: 12

  Authors: Stefan

• Parameter Estimation Based on the Frèchet Progressive Type II Censored Data with Binomial Removals

  Citation: 12

  Authors: Mohamed

• Fuzzy Risk Graph Model for Determining Safety Integrity Level

  Citation: 12

  Authors: R., F., N.

• A Robust Intelligent Framework for Multiple Response Statistical Optimization Problems Based on Artificial Neural Network and Taguchi Method

  Citation: 10

  Authors: Ali, Mahdi, Asghar

• Fuzzy RAM Analysis of the Screening Unit in a Paper Industry by Utilizing Uncertain Data

  Citation: 8

  Authors: Harish, Monica, S. P.

• Interval and Point Estimators for the Location Parameter of the Three-Parameter Lognormal Distribution

  Citation: 7

  Authors: Zhenmin, Feng

• Epistemic Uncertainty Analysis: An Approach Using Expert Judgment and Evidential Credibility

  Citation: 7

  Authors: Patrick

• Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory

  Citation: 7

  Authors: Alexander, Denys, Ludmila